TY - GEN
T1 - Computing the nash bargaining solution for the 2×2 frequency selective interference channel
AU - Zehavi, Ephraim
AU - Leshem, Amir
PY - 2007
Y1 - 2007
N2 - In this paper we extend our previous work [1] analyzing the interference channel as a conflict situation to frequency selective channels and joint TDM/FDM strategies. We provide an O(K log K) complexity algorithm for computing the Nash bargaining solution under mask constraint for the 2×2 frequency selective interference channel (with K frequency bins) under joint FDM/TDM strategies. Simulation results are also provided. We also show the convexity of the N players game with similar strategies.
AB - In this paper we extend our previous work [1] analyzing the interference channel as a conflict situation to frequency selective channels and joint TDM/FDM strategies. We provide an O(K log K) complexity algorithm for computing the Nash bargaining solution under mask constraint for the 2×2 frequency selective interference channel (with K frequency bins) under joint FDM/TDM strategies. Simulation results are also provided. We also show the convexity of the N players game with similar strategies.
KW - Distributed coordination
KW - Game theory
KW - Interference channel
KW - Multiple access channel
KW - Spectrum optimization
UR - http://www.scopus.com/inward/record.url?scp=50249184745&partnerID=8YFLogxK
U2 - 10.1109/CAMSAP.2007.4497999
DO - 10.1109/CAMSAP.2007.4497999
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AN - SCOPUS:50249184745
SN - 9781424417148
T3 - 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP
SP - 197
EP - 200
BT - 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP
T2 - 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP
Y2 - 12 December 2007 through 14 December 2007
ER -